Artificial intelligence-driven body surface area (BSA) estimation using computed tomography: Comparative evaluation with existing formulae.

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Bibliographic Details
Title: Artificial intelligence-driven body surface area (BSA) estimation using computed tomography: Comparative evaluation with existing formulae.
Authors: Sebro R; Department of Epidemiology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd, Unit 1475, Houston, TX.; Department of Imaging Physics, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd, Unit 1475, Houston, TX.; Department of Musculoskeletal Radiology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd, Unit 1475, Houston, TX., Elmahdy M; Department of Otolaryngology, University of South Florida, 12901 Bruce B. Downs Blvd, MDC 73, Tampa, FL.
Source: Medicine [Medicine (Baltimore)] 2026 Apr 24; Vol. 105 (17), pp. e48478.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1536-5964
DOI:10.1097/MD.0000000000048478